
Mastering the Future of Data Platforms: Lead AI Data Architect Position
1 week ago
We are seeking an experienced data architecture leader to design and maintain our AI data platforms.
Key Responsibilities:
- Strategic Data Architecture Design: 10+ years of experience in designing scalable, production-grade data systems, including on-premises or hybrid architectures.
- Machine Learning Engineering Expertise: Deep understanding of LLM architecture, embeddings, vector search, and agentic workflows.
- ML Pipeline Development: Proven experience designing and implementing ML pipelines, inference runtimes, and data retrieval frameworks.
- Programming Language Proficiency: Proficiency with at least one programming language (e.g., Python, Go, Java) and AI/ML frameworks (e.g., LangChain, Haystack, Hugging Face Transformers).
- API Design and Implementation: Demonstrated expertise in designing and building scalable, production-grade RESTful APIs, enabling seamless integration across distributed systems and AI-powered applications.
- LLM Orchestration Frameworks: Experience working with LLM orchestration frameworks, retrieval-augmented generation (RAG), and prompt engineering strategies.
- Open-Source Projects: Familiarity with open-source projects like LangGraph, AutoGPT, CrewAI, and ReAct-based agent architectures.
- Effective Communication and Project Management: Strong communication skills and a track record of delivering complex systems in fast-paced environments.
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